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Classification-Image (166 results) showing 101 - 110



This is an Image Classification model from [TensorFlow Hub](https://tfhub.dev/google/efficientnet/b1/classification/1). It takes an image as input and classifies the image to one of the multiple classes. The model available for deployment is pre-trained on ImageNet which comprises images of...

Model Package - Fulfilled on Amazon SageMaker


Surface defects in copper strips poses quality and performance risks. Classifying defects enables for the rapid identification and removal of the causes of their occurrence, as well as the provision of appropriate treatment to fix them. This Deep Learning-based solution identifies four classes of...

Algorithm - Fulfilled on Amazon SageMaker


This model provides object detection on images using a Mask R-CNN (ResNetXt 101 + FPN) architecture. This network provides state of the art accuracy the COCO2017 validation (Box AP: 43.0) and at the same time it provides fast inference times. Supports both CPU and GPU and it features a simple...

Model Package - Fulfilled on Amazon SageMaker


This is an Image Classification model from [PyTorch Hub](https://pytorch.org/hub/pytorch_vision_wide_resnet/). It takes an image as input and classifies the image to one of the 1000 classes. The model available for deployment is pre-trained on ImageNet (ILSVRC-2012-CLS) which comprises images of...

Model Package - Fulfilled on Amazon SageMaker


The Diabetic retinopathy detector is an image analysis and anomaly detection model that identifies and classifies diabetic anomalies in eye screens. It scales eye screening and helps doctors detect signs of diabetic retinopathy. As all screens are ranked by severity, doctors can address urgent...

Model Package - Fulfilled on Amazon SageMaker


This is an Image Classification model from [TensorFlow Hub](https://tfhub.dev/google/tf2-preview/inception_v3/classification/4). It takes an image as input and classifies the image to one of the multiple classes. The model available for deployment is pre-trained on ImageNet which comprises images...

Model Package - Fulfilled on Amazon SageMaker


Safer was created with the unshakeable intention to eliminate child sexual abuse material (CSAM) from the internet. This singular topic is the primary purpose of our business, our product, and the focus of our expertise. Safer Essential, an API-based solution, requires minimal engineering...


The model is used to monitor product stock levels on a store shelve. The model can identify if the particular product is present or if the shelve is empty. Together with stock management software, the model can be used to notify shop managers when stock on a shelve is running low and the shelve...

Model Package - Fulfilled on Amazon SageMaker


This is an Image Classification model from [TensorFlow Hub](https://tfhub.dev/google/bit/m-r101x1/imagenet21k_classification/1). It takes an image as input and classifies the image to one of the multiple classes. The model available for deployment is pre-trained on ImageNet-21k which comprises...

Model Package - Fulfilled on Amazon SageMaker


This is an Image Classification model from [TensorFlow Hub](https://tfhub.dev/google/imagenet/inception_v1/classification/4). It takes an image as input and classifies the image to one of the multiple classes. The model available for deployment is pre-trained on ImageNet which comprises images of...

Model Package - Fulfilled on Amazon SageMaker